Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Tarakanov, Alexander"'
Autor:
White, Michael D., Tarakanov, Alexander, Race, Christopher P., Withers, Philip J., Law, Kody J. H.
Finding efficient means of fingerprinting microstructural information is a critical step towards harnessing data-centric machine learning approaches. A statistical framework is systematically developed for compressed characterisation of a population
Externí odkaz:
http://arxiv.org/abs/2203.13718
This position paper summarizes a recently developed research program focused on inference in the context of data centric science and engineering applications, and forecasts its trajectory forward over the next decade. Often one endeavours in this con
Externí odkaz:
http://arxiv.org/abs/2107.01913
In this article, we consider computing expectations w.r.t. probability measures which are subject to discretization error. Examples include partially observed diffusion processes or inverse problems, where one may have to discretize time and/or space
Externí odkaz:
http://arxiv.org/abs/2102.12230
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, Volume 370, 2020, 113208, ISSN 0045-7825
Optimal Bayesian design techniques provide an estimate for the best parameters of an experiment in order to maximize the value of measurements prior to the actual collection of data. In other words, these techniques explore the space of possible obse
Externí odkaz:
http://arxiv.org/abs/2008.03989
Autor:
Tarakanov, Alexander V.1 (AUTHOR) dr-tarakanov@yandex.ru, Tarakanov, Alexander A.1 (AUTHOR) scenar.neuro@gmail.com, Skorodumova, Elizaveta G.2 (AUTHOR) lisavetta91@mail.ru, Roberts, Neil3 (AUTHOR) neil.roberts@ed.ac.uk, Kobayshi, Toshi4 (AUTHOR) binsei.nd@gmail.com, Vesnin, Sergey G.4 (AUTHOR) vesnin47@gmail.com, Zelman, Vladimir5 (AUTHOR) vzelman@usc.edu, Goryanin, Igor6,7 (AUTHOR) goryanin@ed.ac.uk
Publikováno v:
Diagnostics (2075-4418). Nov2023, Vol. 13 Issue 21, p3294. 12p.
Publikováno v:
Journal of Computational Physics, 2019, 108909, ISSN 0021-9991
Surrogate-modelling techniques including Polynomial Chaos Expansion (PCE) is commonly used for statistical estimation (aka. Uncertainty Quantification) of quantities of interests obtained from expensive computational models. PCE is a data-driven regr
Externí odkaz:
http://arxiv.org/abs/1909.01648
Autor:
Tarakanov, Alexander N.
A modification of boost transformation in arbitrary pseudo-Euclidean space is suggested, which in the case of the Minkowski space admits the existence of inertial reference frames moving with velocities taking values in a certain bounded interval. Th
Externí odkaz:
http://arxiv.org/abs/1802.10466
Autor:
Tarakanov, Alexander N.
The behavior of spinning particles in the stationary homogeneous electric field is considered and trajectories are found for various spin orientations. We study the acceleration of spinning particles by an electric field, as well as the electric and
Externí odkaz:
http://arxiv.org/abs/1703.09760
Autor:
Tarakanov, Alexander N.
The behavior of spinning particles in the stationary homogeneous magnetic field is considered and all types of trajectories for massive and massless particles are found. It is shown that spin of particles in a magnetic field is always arranged parall
Externí odkaz:
http://arxiv.org/abs/1601.01674
Autor:
Tarakanov, Alexander N.
By means of the method of moving Frenet-Serret frame the set of equations of motion is derived for spinning particle in an arbitrary external field, which is determined by potential depending from both position and the state of movement, as well as b
Externí odkaz:
http://arxiv.org/abs/1511.03515